000 02803nam a22005295i 4500
001 978-3-319-30436-6
003 DE-He213
005 20220801222541.0
007 cr nn 008mamaa
008 160312s2016 sz | s |||| 0|eng d
020 _a9783319304366
_9978-3-319-30436-6
024 7 _a10.1007/978-3-319-30436-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aBărbulescu, Alina.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_962084
245 1 0 _aStudies on Time Series Applications in Environmental Sciences
_h[electronic resource] /
_cby Alina Bărbulescu.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXIII, 187 p. 86 illus., 24 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v103
520 _aTime series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management.   In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code.  .
650 0 _aComputational intelligence.
_97716
650 0 _aGeotechnical engineering.
_94958
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aGeotechnical Engineering and Applied Earth Sciences.
_931829
650 2 4 _aArtificial Intelligence.
_93407
710 2 _aSpringerLink (Online service)
_962085
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319304342
776 0 8 _iPrinted edition:
_z9783319304359
776 0 8 _iPrinted edition:
_z9783319808093
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v103
_962086
856 4 0 _uhttps://doi.org/10.1007/978-3-319-30436-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80893
_d80893